Design and build GenAI use cases based on client's needs and specific data
Understanding of Agentic AI frameworks and design and when they are appropriate for use
Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock.
Implement large language models (LLMs) and transformer models to create advanced AI applications.
Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models.
Show your curiosity, motivation, and passion for experimentation and continuous learning to drive AI innovation that is applicable across enterprise client domains.

Requirements

Experience working with modern generative AI capabilities including large language models, transformer models, and retrieval-augmented generation
Expertise in AI platforms (e.g., Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI, etc.)
Experience with Cloud services (e.g., Google- Document AI, Gemini, Gemma, Generative AI Language Models)
Experience building RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)
Experience using modern software languages (e.g., Python, SQL, Go) to develop generative AI solutions
Must be a US Citizen (No Dual Citizenship).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

generative AIlarge language modelstransformer modelsretrieval-augmented generationPythonSQLGovector databasesAmazon KendraGoogle Vertex AI

Soft Skills

curiositymotivationpassion for experimentationcontinuous learning